中文

Algorithms and complexity for geodetic sets on interval and chordal graphs

数据结构与算法 2026-06-29 v1 离散数学

摘要

We study the computational complexity of finding the geodetic number of a graph on chordal graphs and interval graphs. A set SS of vertices of a graph GG is a \textit{geodetic set} if every vertex of GG lies in a shortest path between some pair of vertices of SS. The \textsc{Minimum Geodetic Set (MGS)} problem is to find a geodetic set with minimum cardinality of a given graph. We show that \textsc{Minimum Geodetic Set} is fixed parameter tractable for chordal graphs when parameterized by its \emph{tree-width} (which equals its clique number). This implies a polynomial-time algorithm for kk-trees, for fixed kk. Then, we show that \textsc{Minimum Geodetic Set} is NP-hard on interval graphs, thereby answering a question of Ekim et al. (LATIN, 2012), who showed that \textsc{Minimum Geodetic Set} is polynomial-time solvable on proper interval graphs. As interval graphs are very constrained, to prove the latter result, we design a rather sophisticated reduction technique to work around their inherent linear structure.

引用

@article{arxiv.2606.30882,
  title  = {Algorithms and complexity for geodetic sets on interval and chordal graphs},
  author = {Dibyayan Chakraborty and Sandip Das and Florent Foucaud and Harmender Gahlawat and Dimitri Lajou},
  journal= {arXiv preprint arXiv:2606.30882},
  year   = {2026}
}

备注

This manuscript corresponds to one part of the original ISAAC 2020 conference paper (Algorithms and Complexity for Geodetic Sets on Planar and Chordal Graphs). During journal revision, the conference version was split into two independent and disjoint journal articles. This arXiv version matches the article published in InC. The other part appeared in TCS. The author list has also changed